Journal: Scientific Reports

Article Title: A new wide input voltage DC-DC converter for solar PV systems with hybrid MPPT controller

doi: 10.1038/s41598-024-61367-x

Figure Lengend Snippet: Proposed universal supply voltage DC-DC converter with RBFN MPPT controller.

Article Snippet: The proposed advanced adaptive genetic algorithm optimized RBFN controller is developed by utilizing the MATLAB/Simulink software.

Techniques:

Journal: Scientific Reports

Article Title: A new wide input voltage DC-DC converter for solar PV systems with hybrid MPPT controller

doi: 10.1038/s41598-024-61367-x

Figure Lengend Snippet: Introduced GA-RBFN Power Point Tracking Controller.

Article Snippet: The proposed advanced adaptive genetic algorithm optimized RBFN controller is developed by utilizing the MATLAB/Simulink software.

Techniques:

Journal: Scientific Reports

Article Title: A new wide input voltage DC-DC converter for solar PV systems with hybrid MPPT controller

doi: 10.1038/s41598-024-61367-x

Figure Lengend Snippet: Detailed investigation of Adaptive GA-RBFN Controller at Various Sunlight Conditions

Article Snippet: The proposed advanced adaptive genetic algorithm optimized RBFN controller is developed by utilizing the MATLAB/Simulink software.

Techniques:

Journal: Materials

Article Title: A Comparison Study of Machine Learning Based Algorithms for Fatigue Crack Growth Calculation

doi: 10.3390/ma10050543

Figure Lengend Snippet: Technique comparisons of MLAs used for fatigue crack growth.

Article Snippet: RBFN , Can be automatically trained by using MATLAB toolbox Only one adjustment parameters (MSE goal) High training speed (0.3~0.6 s) , Too sensitive to MSE goal make it hard to trial and find out the optimal parameter Not suitable for small size fatigue data.

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Journal: Granular Computing

Article Title: Developing a novel stock index trend predictor model by integrating multiple criteria decision-making with an optimized online sequential extreme learning machine

doi: 10.1007/s41066-022-00338-x

Figure Lengend Snippet: Initial parameter configuration of compared models

Article Snippet: RBFN Dash and Dash ( ) , \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\sigma$$\end{document} σ , 10 , 10 , 5 , 5 , 5 , 5.

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